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- Tasks: Join a dynamic team to support trading operations and automate workflows.
- Company: Work with a leading global quantitative trading firm in London.
- Benefits: Enjoy hybrid work, autonomy, and the chance to shape operational processes.
- Why this job: Make a real impact in a fast-paced, tech-driven environment with diverse exposure.
- Qualifications: Bachelor's or Master's in Maths, Engineering, or Computer Science; 2-3 years experience required.
- Other info: All applications are confidential; your profile is shared only with consent.
The predicted salary is between 36000 - 60000 £ per year.
Global Quantitative Trading Firm in London is hiring for an Operations Analyst to join its team. This is a high-exposure role within a small, technically capable operations group supporting a multi-asset, multi-venue trading environment.
You’ll work across reconciliations, trade support, cash and collateral management, and process automation—helping ensure the firm’s global trading infrastructure runs smoothly and scales efficiently. Ideal for someone who thrives in a fast-moving, engineering-first environment and wants their work to directly impact performance.
Role Overview
This role provides hands-on exposure to trading systems, operational processes, and financial products across the full trade lifecycle. You’ll be building and automating workflows, monitoring risk, liaising with brokers and exchanges, and working with engineers to develop new tooling and reporting infrastructure. This isn’t back-office ops—it’s embedded, high-leverage work in a deeply technical, high-trust environment.
Key Responsibilities
- Daily reconciliations across cash, positions, and trading activity
- Manage broker and exchange relationships, resolve operational issues
- Monitor live risk and escalate accordingly
- Develop and maintain automated tools (Python, Go, SQL)
- Support cash, margin, and collateral flows across multiple venues
- Handle reporting: P&L, risk, treasury, and regulatory checks
- Participate in the team’s on-call support rota
- Support onboarding of new products, brokers, and venues
- Contribute to ad hoc analysis and data reporting projects
What You’ll Need
- Bachelor’s or Master’s degree in Maths, Engineering, or Computer Science (min 2:1)
- 2–3 years experience in trading operations or a similar environment
- Solid Python or Go scripting experience; SQL for data queries/manipulation
- Strong analytical and troubleshooting skills
- Clear communicator with experience working across teams
- A self-starter who takes ownership of problems and builds scalable solutions
- Familiarity with at least one asset class from an ops or support perspective
Why Apply?
- High-impact role in a fast-paced trading environment
- Exposure across asset classes, products, and trade lifecycle
- Autonomy to design and automate operational processes
- Embedded within a tech-driven team where ideas are implemented quickly
- Real opportunity to shape systems, not just follow workflows
All applications handled with strict confidentiality – your profile will only be shared with your consent.
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Operations Engineer
✨Tip Number 1
Familiarise yourself with the trading systems and operational processes mentioned in the job description. Understanding how these systems work will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the trading operations field, especially those who work at quantitative trading firms. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your Python or Go scripting skills, as well as SQL for data manipulation. Being able to showcase your technical abilities in these areas during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've contributed to process automation or problem-solving in previous roles. Highlighting your experience in a fast-paced environment will resonate well with the hiring team.
We think you need these skills to ace Trading Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in trading operations or similar environments. Emphasise your technical skills, especially in Python, Go, and SQL, as well as any experience with financial products.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for trading operations and your understanding of the role. Mention specific experiences where you've successfully automated processes or resolved operational issues.
Highlight Relevant Skills: In your application, clearly outline your analytical and troubleshooting skills. Provide examples of how you've communicated effectively across teams and taken ownership of problems in previous roles.
Showcase Your Education: Include details about your degree in Maths, Engineering, or Computer Science, especially if you achieved a 2:1 or higher. This will demonstrate your strong academic background relevant to the role.
How to prepare for a job interview at Quant Capital
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Go, and SQL during the interview. Be prepared to discuss specific projects where you've used these skills to automate processes or solve operational issues.
✨Demonstrate Analytical Thinking
Prepare examples that showcase your analytical and troubleshooting abilities. Discuss how you've approached complex problems in trading operations and the impact of your solutions on the overall process.
✨Communicate Clearly
As a Trading Operations Engineer, you'll need to liaise with various teams. Practice articulating your thoughts clearly and concisely, especially when explaining technical concepts to non-technical stakeholders.
✨Understand the Trading Environment
Familiarise yourself with the multi-asset, multi-venue trading environment. Research the firm’s operations and be ready to discuss how your background aligns with their needs and how you can contribute to their success.